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NEW QUESTION: 1
C-Support Vector分類を使用して、不均衡なトレーニングデータセットでマルチクラス分類を行っています。以下に示すPythonコードを使用したC-Support Vector分類：

C-Support Vector分類コードを評価する必要があります。
どの評価ステートメントを使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Automatically adjust weights inversely proportional to class frequencies in the input data The "balanced" mode uses the values of y to automatically adjust weights inversely proportional to class frequencies in the input data as n_samples / (n_classes * np.bincount(y)).
Box 2: Penalty parameter
Parameter: C : float, optional (default=1.0)
Penalty parameter C of the error term.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html

NEW QUESTION: 2

Response:
A. Warehouse level
B. Item Properties level
C. Item level
D. Company level
Answer: A

NEW QUESTION: 3

A. IPAM MSM Administrators
B. IPAM IP Audit Administrators
C. IPAM ASM Administrators
D. IPAM User
Answer: B
Explanation:
Explanation
References: https://technet.microsoft.com/en-us/library/jj878348(v=ws.11).aspx

NEW QUESTION: 4
Refer to the Exhibit. An administrator attempts to enable Enhanced vMotion Compatibility (EVC) on a cluster.
The operation results in a compatibility error, as shown in the exhibit.

What is the likely cause of this error?
A. The CPUs in the ESXi host are not AMD CPUs.
B. The XD/NX CPU features have not been enabled in the BIOS of the server.
C. There is no shared storage between the hosts in the cluster.
D. The CPUs in the ESXi host do not support hardware virtualization capabilities.
Answer: A